{"uid":"cap_otvez349PRgBNotFWYkZf","slug":"time-series-completeness-category-frequencies-numeric-row-ordering-2737c6ec","name":"Time Series Completeness — Category Frequencies + Numeric Row Ordering","description":"Time series completeness — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied time series completeness records (observed_points, expected_points). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-16-100?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_PLk26TyKw1rvgtLwDcfEO","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes time series completeness records by computing category frequencies for dataset groups and numeric row ordering for observed/expected point values, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of daily time series completeness records for two groups — 'group-a' and 'group-b' — with observed_points and expected_points logged per date from 2026-10-01 to 2026-10-04. Can you run category frequency and numeric row ordering reports on those rows using the observed_points field?","exampleUseCases":[{"title":"Audit dataset group coverage over time","prompt":"I've got 150 rows of daily completeness logs with observed_points and expected_points for three dataset groups: 'sensors', 'weather', and 'transactions'. Can you give me a category frequency breakdown showing how often each group appears, and also rank the rows by observed_points?"},{"title":"Spot ordering anomalies in expected data points","prompt":"Here are 80 time series completeness records from our pipeline — each has a date, dataset_group, observed_points, and expected_points. I want to see the numeric row ordering based on expected_points so I can spot any gaps or anomalies in the sequence."},{"title":"Compare group representation across reporting period","prompt":"I have completeness records for two reporting groups across 60 dates — can you compute how frequently each group shows up (category frequencies) and order all the rows numerically by observed_points so I can review them in ranked order?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a numeric row ordering ranking rows by the selected field (observed_points or expected_points). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, observed_points, expected_points) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Null values in both observed_points and expected_points across all rows may yield incomplete ordering output","Payment not included or insufficient USDC balance prevents execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 time series completeness records (observed_points and expected_points per date and group) and need two quick, self-contained statistical summaries — category frequencies and numeric ordering — without any external data lookup, prediction, or live data integration. It is ideal for data quality audits, pipeline monitoring dashboards, and batch completeness reviews where both group distribution and ranked ordering are needed in a single call at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:50.420Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-category-frequencies-numeric-row-ordering-2737c6ec"}